A structural analysis of the rail unit of an indoor assistive mobility system

Author:

Kim Je Nam1,Shin Mi Yeon2,Seo You Sung3,Yu Chang Ho24,Kim Kyong5

Affiliation:

1. New Technology Convergence Team, R&BD Division, CAMTIC Advanced Mechatronics Technology Institute for Commercialization, Jeonju-si, Korea

2. Department of Energy Storage/Conversion Engineering of Graduate School (BK21 FOUR), Jeonbuk National University, Jeonju-si, Korea

3. Division of Rehabilitation Therapy, Daegu Haany University, Gyeongsan-si, Korea

4. Division of Convergence Technology Engineering, Jeonbuk National University, Jeonju-si, Korea

5. Department of Rehabilitation Medical Engineering, Daegu Haany University, Gyeongsan-si, Korea

Abstract

BACKGROUND: Individuals with gait disturbances, such as that post-stroke, are discharged home to undergo outpatient rehabilitation. Rehabilitation in the community is not as effective as that in hospital, due to long travel times and short program duration. OBJECTIVE: This study analyzed rail unit structure, with the aim of assisting home indoor assistive mobility system (HIAMS) development, allowing patients to undergo gait-related rehabilitation training at home. METHODS: The HIAMS consists of a mobile rail running around the whole room, a turn-table for movement between rails, and a weight-supporting component. Structural analysis was performed using the Abaqus/CAE solution (Version 6.14, Dassault systems, Inc.) to verify device safety, according to the load applied to the rail and turn-table units. The load was applied vertically at 150 kg to reflect the weight of potential users. RESULTS: Structural analysis was performed on the weight-supporting components, which was consist of turn-table case, bearing components (center, left), connective bracket and rail rollers. The safety factors of each components were estimated as 1.31, 5.39 (bearing, center), 8.45 (bearing, left), 1.43 and 3.61 in sequence. CONCLUSION: We demonstrated a safety factor of ⩾ 1.3 for the key system units, suggesting this technology is safe for use in the home rehabilitation training of individuals with gait impairment post-ICU stay.

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference20 articles.

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3. Predicting disability in stroke: A critical review of the literature;Kwakkel;Age and Ageing.,1996

4. Lower-limb robotic rehabilitation: Literature review and challenges;Diaz;Journal of Robotics.,2011

5. Identifying perceived usability factors of a pre-gait rehabilitative robot design;Kim;Journal of Product Research.,2019

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